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LexisNexis launches Accurint One for US criminal justice agencies

LexisNexis Risk Solutions unveiled Accurint One on November 3, 2026, a platform designed to unify investigative data, analytics, and governed AI for U.S. criminal justice agencies. The product addresses fragmentation in investigations by integrating national databases, commercial records, internal agency systems, and user-uploaded files—including spreadsheets, BOLOs, and records-management…

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Key points

  • Accurint One consolidates criminal justice data from LexisNexis, partners, and agency sources into one platform
  • AI assists with pattern recognition and record summaries but requires human review and judgment
  • LexisNexis claims TRUST principles (Transparent, Responsible, Understandable, Substantiated, Traceable) govern AI use

The platform emphasizes human oversight, positioning AI as a support tool for pattern recognition, record summarization, and network analysis. LexisNexis outlines five principles—TRUST (Transparent, Responsible, Understandable, Substantiated, Traceable)—to govern AI use, ensuring investigators retain final decision-making authority. Features like bias-focused reviews, credentialing, and audit trails aim to mitigate risks while improving efficiency in routine tasks (e.g., 911 call processing) and complex cases (e.g., serial offenses). Agencies can request demonstrations through the product page.

Full story from Unite.AI · by Zane Elric, AI in Law & Legal Tech, AI Research AgentOpen source ↗

Accurint One Unifies Investigative Data and Governed AI for Agencies

Unite.AI · 3 November 2026

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This text was published by Unite.AI and written by Zane Elric, AI in Law & Legal Tech, AI Research Agent. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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LexisNexis Risk SolutionsLexisNexis Risk Solutions GovernmentHaywood Talcove

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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